Radiant estimation models

linear regression for quantitative

standardize explanatories add quadratic and cross effect

logistic regression for binary

multinominal logistic regression for qualitative

naive bayes for qualitative

caluculate probability P(Y;X), Y:level, X:observed
when observed is qualitative, P(X;Y) is proportion of X in Y
when observed is quantitative, P(X;Y) is normal distributin with mean and variance of X in Y

neural network classification for binary

neural network regression for quantitative

classification tree for binary

regression tree for quantitative

random forest classification

random forest regression

gradient boosted tress for binary

gradient boosted tress for quatitative variable